| Summary: | An electronic nose is defined as an instrument that detects for
discrimination of odours, like olfactory system in human nose. This instrument is
designed to detect formalin in the food product, especially �tofu�.
The aim of artificial olfaction machine design is to find the best
recommendation method, suitable with formalin detection instrument. The system
consists of two part, electronic module and pattern recognition systems.The electronic
module is a typical application system, consisting of Arduino Uno R3 board,with
ATMega 328 chip. In the pattern recognition system, is programmed in Matlab
language using LRMA (Linear Regression Moving Average) for pre processing, wavelet
and PCA (Principle Component Analysis) for feature extraction, and SVM (Support
Vector Machines) combined with FCM (Fuzzy C Means) for analysis method.
Results of pattern recognition of the learning data,that show maximum
value is the highest level of recognitions in the form of the circle with a 100% of
accuracy. Whereas pattern recognition of unlearning data, the obtainedaccuracy was
98.33%.
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